TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

TDWI Checklist Report | Digital Transformation Using Machine Learning

December 14, 2018

This TDWI Checklist Report discusses three broad areas of best practices for helping to make machine learning, and those involved with it, successful.

TDWI Checklist Report | Best Practices for Real-Time Analytics on High Data Volumes

December 10, 2018

In this checklist, we explore the concept of hybrid transaction/analytical processing (HTAP), an alternative architecture that enables analytics to be performed in concert with transaction processing. We will present best practices for taking advantage of this alternative architecture to enable real-time analytics.

TDWI Checklist Report | Five Benefits of Modern Data Catalogs

December 7, 2018

In addition to automation using AI, next-generation data catalogs often contain new features such as crowdsourcing and collaboration. This TDWI Checklist describes five ways modern data catalogs drive business value.

TDWI Checklist Report | Seven Ways to Liberate Data with a Platform for DataOps

October 31, 2018

Existing enterprise infrastructures are engineered in a way that complicates some types of data provisioning. In this checklist, we will consider the benefits of a platform-based approach to DataOps that addresses some of these complexities.

TDWI Checklist Report | Five Data Engineering Requirements for Enabling Machine Learning

October 26, 2018

This TDWI Checklist Report discusses best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new types of data for analysis.

TDWI Checklist Report | Six Keys to Maximizing Big Data Benefits and Project Success

September 29, 2018

This TDWI checklist discusses six important issues that organizations should address to start big data projects off right and then manage them to achieve objectives faster and with less difficulty.

TDWI Checklist Report | AI for BI: Six Strategies for Augmenting Business Intelligence with AI and Machine Learning

September 28, 2018

This TDWI checklist discusses six best practices for gaining greater value from AI for BI and self-service analytics. Our objective is to help organizations accomplish projects faster and provide relevant and accurate insights that users can trust.